Biological age as a health index for mortality and major age-related disease incidence in Koreans: National Health Insurance Service – Health screening 11-year follow-up study
Received 14 November 2017
Accepted for publication 18 January 2018
Published 20 March 2018 Volume 2018:13 Pages 429—436
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 3
Editor who approved publication: Dr Richard Walker
Young Gon Kang,1 Eunkyung Suh,2 Jae-woo Lee,3 Dong Wook Kim,4 Kyung Hee Cho,5 Chul-Young Bae1
1Department of R&D, MediAge Research Center, Seongnam, Republic of South Korea; 2Department of Family Medicine, College of Medicine, CHA University, Chaum, Seoul, Republic of South Korea; 3Department of Family Medicine, College of Medicine, Chungbuk National University, Cheongju, Republic of South Korea; 4Department of Policy Research Affairs, National Health Insurance Service Ilsan Hospital, Goyang, Republic of South Korea; 5Department of Family Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of South Korea
Purpose: A comprehensive health index is needed to measure an individual’s overall health and aging status and predict the risk of death and age-related disease incidence, and evaluate the effect of a health management program. The purpose of this study is to demonstrate the validity of estimated biological age (BA) in relation to all-cause mortality and age-related disease incidence based on National Sample Cohort database.
Patients and methods: This study was based on National Sample Cohort database of the National Health Insurance Service – Eligibility database and the National Health Insurance Service – Medical and Health Examination database of the year 2002 through 2013. BA model was developed based on the National Health Insurance Service – National Sample Cohort (NHIS – NSC) database and Cox proportional hazard analysis was done for mortality and major age-related disease incidence.
Results: For every 1 year increase of the calculated BA and chronological age difference, the hazard ratio for mortality significantly increased by 1.6% (1.5% in men and 2.0% in women) and also for hypertension, diabetes mellitus, heart disease, stroke, and cancer incidence by 2.5%, 4.2%, 1.3%, 1.6%, and 0.4%, respectively (p<0.001).
Conclusion: Estimated BA by the developed BA model based on NHIS – NSC database is expected to be used not only as an index for assessing health and aging status and predicting mortality and major age-related disease incidence, but can also be applied to various health care fields.
Keywords: health, aging, biological age, comprehensive index
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